Manfred Huber

Reinforcement Learning · with Grupen · 1997–2011

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Manfred Huber trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ben J. A. Kröse
  2. Richard S. Sutton
  3. Sridhar Mahadevan
  4. Andrew Barto
  5. J. Connell
  6. Satinder Singh
  7. Steven J. Bradtke

Who trusts Manfred Huber overall

  1. George Dimitri Konidaris
  2. Andrew Barto
  3. Robert Platt Jr.
  4. R. Grupen
  5. Bruno Castro da Silva
  6. Scott Niekum
  7. Richard S. Sutton
  8. Scott Kuindersma
  9. Kagan Tumer
  10. Andrew H. Fagg

Papers from Manfred Huber's perspective

Ordered by how strongly the researchers Manfred Huber trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning to Act Using Real-Time Dynamic Programming
  2. Automatic Programming of Behavior-Based Robots Using Reinforcement Learning
  3. Building Portable Options: Skill Transfer in Reinforcement Learning
  4. Neuronlike adaptive elements that can solve difficult learning control problems
  5. Reinforcement Learning: An Introduction
  6. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  7. Hierarchical Reinforcement Learning Based on Subgoal Discovery and Subpolicy Specialization
  8. Gradient-based learning applied to document recognition
  9. Dyna, an integrated architecture for learning, planning, and reacting
  10. Residual Algorithms: Reinforcement Learning with Function Approximation

Their papers